Nextpoint DIY: How to Think Like an Evidence Tech

Nextpoint DIY: How to Think Like an Evidence Tech

Nextpoint DIY: How to Think Like an Evidence Tech 150 150 jlawn

Here in the Nextpoint Evidence Room we analyze, interpret, intake and process litigation databases of all sizes, shapes and levels of complexity. This evidence originates from various trial prep platforms and a number of litigation technology vendors who construct their databases with varying methods, formats, and levels of consistency.  To paraphrase Forrest Gump, “a database is like a box of chocolates, you never know what you’re gonna get.”  We’ve spent years developing our toolbox in order to achieve the most efficient data preparation possible.
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At first blush, building a complex database may seem like a daunting task, which makes the Nextpoint Evidence Room such a valuable resource for our customers. While many of our customers utilize our services, a growing number of folks are preparing their own data and building databases themselves. This is a testament to the simplicity of the Nextpoint platform which allows users robust capabilities in an easy to use interface. Nevertheless, you might feel intimidated becoming a “self-serve” customer, so here are some tips to empower you.
First, you need to get closely acquainted with your data set.  Elements like folder structure, file names, file types, accompanying data files, any patterns and/or inconsistencies will allow you to draw a mental picture of how you want that data to work for you as a finished product in Discovery Cloud or Trial Cloud.

Now you or an evidence tech can follow a few basic guidelines to prepare and process your data (click the links for more detailed instructions):
Data Intake:  Gather the total size of your data set and then take a good thorough look through it to get a sense of the layout, file types, and folder structure that may be included.
Pre-Processing:  Generate a directory list of your files, or modify an existing data file with the end goal of creating a nextpoint_load_file.
Import/Process:  Determine your import method and import into Discovery Cloud/Trial Cloud. Remember, each import will be processed into Nextpoint in its own Import batch. So if you make a mistake, you can always delete the documents in a batch and import again.
Quality Control & Verification:  Verify processed files in Discovery Cloud/Trial Cloud, resolve document processing errors, and if applicable, apply label(s), bates values or additional coding to the finished document set, assign documents to reviewer, group and prepare different document sets for production, etc.
Remember, you can find many of the resources you need at support.nextpoint.com, including complete instructions for Uploading Data to Trial Cloud and Uploading Data to Discovery Cloud. Here at the Nextpoint Evidence Room, we are always happy to work with you, or for you, if you’d like us to handle your document processing. However, we also believe in the democratization of data and find that it is equally important to empower our customers with the ability to do it themselves.  So if you have any questions, we are always here to answer them. Enjoy!